Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques
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Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques
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Narrado por:
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Russell Newton
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De:
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Bob Mather
Acerca de esta escucha
Are you excited about artificial intelligence and want to get started?Are you excited about machine learning and want to learn how to implement in Python?
The book below is the answer.
Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc., analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this audiobook. We are using Python, which is a great programming language for beginners.
Python is a great language that is commonly used with machine learning. Python is used extensively in mathematics, gaming, and graphic design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.
Here's what's included in this audiobook:
- What is machine learning?
- Why use Python?
- Regression analysis using Python with an example
- Clustering analysis using Python with an example
- Implementing an Artificial Neural Network
- Backpropagation
- 90-day plan to learn and implement machine learning
- Conclusion
Buy this audiobook today!
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General0 out of 5 stars 0
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Narración:0 out of 5 stars 0
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Python Data Science: The Ultimate Crash Course for Data Analysis is a step-by-step guide for those who want to start programming by using Python for their projects and to make their researching activities much easier. The guide will introduce you to the basics of this programming language, and you will have the chance to learn how to use and code in Python with matched libraries, easily and effectively.
Lo que los oyentes dicen sobre Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Arshi.af
- 10-24-18
GOOD
The last chapter deals with the technical part; I recommend to see more informative guide to grasp the concept. Lastly, if your level of English is good, you can increase the speed.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia4 out of 5 stars
- Brianna Denise Krooberg
- 10-29-18
Keeping.
I am keeping this audio book for reference. The tools, concepts and technique are useful in my study of python. I will sharing this with my colleagues.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia4 out of 5 stars
- Olga
- 10-29-18
Have it now!
I really want to learn more about machine learning and this will be a perfect guide for me to know more. This is long but I guess it have it all.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia5 out of 5 stars
- Debbie Cooper
- 06-07-19
Great For Beginner Data Analysis
If you are trying to learn about data analysis in machine learning this is a great audio book to start you off. This book will break down exactly what machine learning is and then go on to teach you one of the easiest computer languages out there, which is python. This is a great starter book, I suggest that you have your computer up and running so that you can follow along as the narrator walks you through the steps. Also a great reference to have around for when you do get confused or stuck during your data analysis.
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Total5 out of 5 stars
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Ejecución5 out of 5 stars
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Historia3 out of 5 stars
- David
- 08-20-19
Great audio book for learning about data!
I bought this book wondering what more i can learn about Data Analysis, i had read the reviews before mine that said to have my computer ready and near me! Great idea! Loved this audio book and now my wife is listening to it. Great job!
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